Abstract
This paper performs a global robust stability analysis of a particular class of hybrid bidirectional associative memory time-varying delayed neural network with norm-bounded timevarying parameter uncertainties. The activation functions are assumed to be globally Lipschitz continuous. Globally delay-dependent robust stability criteria are derived in the form of linear matrix inequalities by introducing relaxation matrices which, when chosen properly, produce a less conservative result. Two numerical examples are given to illustrate the significant improvement obtained in the conservativeness of the delay bound.
Original language | English |
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Pages (from-to) | 164-171 |
Number of pages | 8 |
Journal | Journal of Marine Science and Technology |
Volume | 18 |
Issue number | 2 |
Publication status | Published - 2010 Apr 1 |
All Science Journal Classification (ASJC) codes
- Oceanography
- Ocean Engineering
- Mechanics of Materials
- Mechanical Engineering